You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

43 lines
2.0 KiB

{
"predict_numeric_fields": {
"description": "Predict the value of a numeric field using a weighted combination of the values of other fields in that event.",
"title": "Predict Numeric Fields"
},
"predict_categorical_fields": {
"description": "Predict the value of a categorical field using the values of other fields in that event.",
"title": "Predict Categorical Fields"
},
"detect_numeric_outliers": {
"description": "Find values that differ significantly from previous values.",
"title": "Detect Numeric Outliers"
},
"detect_categorical_outliers": {
"description": "Find events that contain unusual combinations of values.",
"title": "Detect Categorical Outliers"
},
"forecast_time_series": {
"description": "Forecast future values given past values of a metric (numeric time series).",
"title": "Forecast Time Series"
},
"cluster_numeric_events": {
"description": "Partition events with multiple numeric fields into clusters.",
"title": "Cluster Numeric Events"
},
"smart_forecast": {
"description": "Forecast future numeric time series data using a step-by-step guided workflow with the option to bring in data from different sources and account for calendar specific \"special days\" such as holidays, company-specific event days.",
"title": "Smart Forecasting"
},
"smart_outlier_detection": {
"description": "Detect numeric outliers using a step-by-step guided workflow to leverage a density algorithm and segment data in advance of your anomaly search.",
"title": "Smart Outlier Detection"
},
"smart_clustering": {
"description": "Cluster numeric events using a step-by-step guided workflow.",
"title": "Smart Clustering"
},
"smart_prediction": {
"description": "Predict the value of a categorical or numeric field based on one or more other fields in the event using a step-by-step guided workflow.",
"title": "Smart Prediction"
}
}